Multiple attribute decision-making based on cubical fuzzy aggregation operators

Khan, Asghar; Jan, Asmat Ullah; Amin, Fazli; Zeb, Aurang

doi:10.1007/s41066-021-00273-3

Cited by 13 publications

(4 citation statements)

References 22 publications

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“…It has been observed from the above discussion that the ranking function plays a key role in a CF DM process in ordering the alternatives and the existing ranking functions in the literature (Khan et al 2022) To facilitate our discussion, the rest of this paper is organized as follows: Section 2 delivers the definition of CFS with some properties. Section 3 presents the available ranking functions of CFS in the literature.…”

Section: Motivation and Layout Of The Papermentioning

confidence: 99%

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A novel cubical fuzzy score function for the location selection of wind farm using linear assignment method

Thilagavathy

Mohanaselvi

2023

Preprint

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In an uncertain context, extensions of the fuzzy set have a substantial impact in multiple criteria decision making (MCDM) situations. Cubical fuzzy set (CFS), is one such extension that is more advantageous for handling impreciseness in MCDM problems. The comparison of cubical fuzzy numbers (CFNs) is a signicant stage in the cubical fuzzy decision making process. In literature, it is found that the existing ranking functions fails to compare CFNs in certain situations. In order to address this issue, the current paper focuses on dening a new score function that compares CFNs in all circumstances. A comparison study is made with the literature to show the potency of the proposed score function. In multiple criteria problems, nding criteria weights plays a vital phase during the decision making process. Taking into account, this paper adopted the subjective method of pairwise comparison for determining the criteria objective weights. Further, a cubical fuzzy linear assignment method (CF-LAM) based on the proposed score function for solving a cubical fuzzy multiple criteria group decision making (CF-MCGDM) problem has been developed. The practical applicability and feasibility of the proposed score function using the developed LAM are illustrated by solving a real life MCGDM problem of nding the best location for the construction of a wind power farm under a CF environment.

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Section: Motivation and Layout Of The Papermentioning

confidence: 99%

“…Table 3 concludes that our proposed ICFSF is more efficient in comparing the CFNs of all cases. Also, Table 4 portrays the reliability of the proposed ICFSF over the existing score function by comparing with the results obtained in (Khan et al 2022) and the geometrical comparison is portrayed in Fig. 4.…”

Section: Comparison Studymentioning

confidence: 99%

A novel cubical fuzzy score function for the location selection of wind farm using linear assignment method

Thilagavathy

Mohanaselvi

2023

Preprint

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“…This study used the most widely employed (and credible) multi-criteria decision-making (MCDM, or multi-attribute decision-making [MADM]) model, AHP, as the main multi-criteria decision analysis (MCDA) method. In the field of MCDM (defined more generally to include multiobjective decision-making [MODM]), incorporation of the fuzzy concept to address uncertainty (Chutia, 2021;Jiang & Hu, 2021;Muneeb et al, 2021;Rahman, 2022;Tavana et al, 2021;Wang et al, 2021;Xue et al, 2021), novel interdisciplinary applications of existing models (Garg & Rani, 2022;Majumder et al, 2021;Mishra et al, 2021;Turgut & Erdogan, 2020;Zhuang & Yu, 2021), and model refinements (Gong & Fan, 2021;Jin et al, 2021;Khan et al, 2022;Ni et al, 2022;Rahman et al, 2021) are the most popular topics to date. The research context of this study falls within the scope of the second topic.…”

Section: The Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Housing Preference Structures in East Asia: An Empirical Study and Non-Paradigmatic Shifts Between Nearby Metropoles

Zhuang

Fu²

2023

International Journal of Strategic Property Management

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A systematic research flow was applied to the Southern Metropolis in Taiwan not only to recount residents’ considerations in this cultural area but also to compare them with those of other metropolitans on the island in relation to general housing concerns. The constructs and factors in housing decision-making were justified using the literature, confirmed with experts in the field, and organised as a decision hierarchy that formed the foundation of a survey. The investigation combined the analytic hierarchy process and Student’s t-test, both of which are credible methods, to facilitate a grounded process for mind mining. The importance of constructs/factors were thus assessed on a numerical basis, and a set of unforeseen insights were explored for the different parties of interest (e.g., buyers, construction companies, agents, asset managers, etc.). Opinion gaps between different sample groups were identified. This set of empirical knowledge filled the gap in the literature. It is noteworthy that among the constructs in the region studied, (housing) ‘conditions’ dominated ‘price’, while ‘location and transport’ was the least important. A ‘non-paradigmatic shift’ in people’s total housing preference structure, which changed gradually with decreasing population density and increasing plain geography from the north to the south between nearby metropoles, was observed, despite the niche but commensurable cultural norm in East Asia being the overall scenario of the island. Some existing claims about the housing preferences in this area were also either supported or rebutted by the quantitative evidence(s).

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“…Group decision making refers to the process in which different decision makers give their preference or evaluation of alternatives according to different criteria based on their cognitive ability and knowledge background to obtain the priority relationship of alternatives (Khan et al 2022 ; Rong et al 2020a , 2020b , 2021 , 2022 ; Senapati et al 2023 ). In the process of decision analysis in practical problems, due to the prevalence of uncertainty and the limitations of decision makers’ knowledge level in decision analysis of practical problems, the challenge of portraying imprecise and unclear information is becoming increasingly precise.…”

Section: Introductionmentioning

confidence: 99%

An efficient spherical fuzzy MEREC–CoCoSo approach based on novel score function and aggregation operators for group decision making

2023

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The major objective of the current investigation is to build an integrated multiple criteria group decision-making (MCGDM) methodology based on combined compromise solution (CoCoSo) and spherical fuzzy set for determining the optimal solar power station. To begin with, an innovative spherical fuzzy score function is brought forward to strengthen the efficiency of the comparison for spherical fuzzy number (SFN). Secondly, several newly operational laws for SFN are defined and some novel aggregation operation based on them are propounded. The corresponding excellent properties of the novel operators are also explored at length. Further, the spherical fuzzy method on the removal effects of criteria (MEREC) technique is presented by the proposed score function to work out the importance of the criteria. Lastly, an MCGDM approach is propounded based on improved spherical fuzzy CoCoSo to obtain the ranking of the solar power station locations. The feasibility and practicability of the proposed SF-MEREC–CoCoSo method are investigated through the comparison study with the extant methods. The sensibility analysis is also executed to discuss the robustness and stability of the propounded methodology.

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Multiple attribute decision-making based on cubical fuzzy aggregation operators

Cited by 13 publications

References 22 publications

A novel cubical fuzzy score function for the location selection of wind farm using linear assignment method

A novel cubical fuzzy score function for the location selection of wind farm using linear assignment method

Housing Preference Structures in East Asia: An Empirical Study and Non-Paradigmatic Shifts Between Nearby Metropoles

An efficient spherical fuzzy MEREC–CoCoSo approach based on novel score function and aggregation operators for group decision making

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